Dr. Dashuai Wang currently serves as a Research Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech). His multidisciplinary research focuses on the integration of Artificial Intelligence (AI), Smart Sensors (SS), and Agricultural Robotics (AR) with Smart Agriculture (SA), emphasizing technological innovation for precision farming solutions.

Dr. Wang has established a notable publication record, having authored/co-authored over 30 peer-reviewed articles in high-impact journals and premier conference proceedings. As principal investigator, he has secured some competitive funding, including but not limited to:

l National Natural Science Foundation of China (NSFC)

l Guangdong Basic and Applied Basic Research Foundation

l Shenzhen Science and Technology Program

l China Postdoctoral Science Foundation

Personal Contact：wangds3@sustech.edu.cn

Group Contact: music@sustech.edu.cn

Education

2013.09-2019.06, College of Engineering, China Agricultural University，Ph.D.

2017.09-2018.09, University of California at Davis, Electrical and Computer Engineering, Visiting Scholar

2009.09-2013.07, College of Engineering, China Agricultural University，Bachelor

Employment

2022-06 to Present   School of Microelectronics, Southern University of Science and Technology，Research Assistant Professor

2022.01-2022.06 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences，Senior Engineer

2021.04-2021.12 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Engineer

2019.07-2021.04 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Post doctor

Awards

High-level Professional in Shenzhen (Reserve), 2021

National Scholarship for Chinese Doctoral Students, 2017

Research Interests

Artificial Intelligence

Smart Agriculture

Robots

Research Publications

 (* Corresponding Autor; # Equal Contribution)

[1] Dashuai Wang*; Minghu Zhao; Zhuolin Li; Sheng Xu; Xiaohu Wu; Xuan Ma; Xiaoguang Liu. A survey of unmanned aerial vehicles and deep learning in precision agriculture. European Journal of Agronomy. 2025, 164, 127477.

[2] Dashuai Wang; Minghu Zhao; Zhuolin Li; Xiaohu Wu; Nan Li; Decheng Li; Sheng Xu; Xiaoguang Liu*. Classification of maize lodging types using UAV-SAR remote sensing data and machine learning methods. Computers and Electronics in Agriculture. 2024, 227, 109637.

[3] Dashuai Wang; Wei Li*; Xiaoguang Liu; Nan Li; Chunlong Zhang. UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution. Computers and Electronics in Agriculture. 2020, 175, 105523.

[4] Zhuolin Li; Dashuai Wang*; Qing Yan; Minghu Zhao; Xiaohu Wu; Xiaoguang Liu. Winter wheat weed detection based on deep learning models. Computers and Electronics in Agriculture. 2024, 227, 109448.

[5] Dashuai Wang; Wujing Cao; Fan Zhang; Zhuolin Li; Sheng Xu; Xinyu Wu*. A review of deep learning in multiscale agricultural sensing. Remote Sensing. 2022, 14(3), 559. (ESI Highly Cited)

[6] Naifu Jiang#; Dashuai Wang#; Xinyu Ji; Xinyu Wu*; Guanglin Li*. Effect analysis of wearing a lumbar exoskeleton on coordinated activities of the low back muscles using sEMG topographic maps. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 2024, 32: 259-270.

[7] Naifu Jiang; Lin Wang; Dashuai Wang; Peng Fang; Xinyu Wu*; Guanglin Li*. Loading recognition for lumbar exoskeleton based on multi-channel surface electromyography from low back muscles. IEEE Transactions on Biomedical Engineering. 2024, 71(7): 2154-2162.

[8] Minghu Zhao; Dashuai Wang*; Qing Yan; Zhuolin Li; Xiaoguang Liu. UAV-multispectral based maize lodging stress assessment with machine and deep learning. Agriculture. 2025, 15(1), 36.

[9] Dashuai Wang; Zhuolin Li; Xiaoqiang Du; Zenghong Ma*; Xiaoguang Liu*. Farmland obstacle detection from the perspective of UAVs based on Non-local Deformable DETR. Agriculture. 2022, 12(12), 1983.

[10] Wujing Cao; Zhewen Zhang; Chunjie Chen; Yong He; Dashuai Wang*; Xinyu Wu. Biomechanical and physiological evaluation of a multi-joint exoskeleton with active-passive assistance for walking. Biosensors. 2021, 11(10), 393.

[11] Wujing Cao; Chunjie Chen*; Dashuai Wang; Xinyu Wu; Lingxing Chen; Tiantian Xu; Jingshuai Liu. A lower limb exoskeleton with rigid and soft structure for loaded walking assistance. IEEE Robotics and Automation Letters. 2021, 7(1), 454-461.